Yuning Huang
Computer Science · Purdue University West Lafayette
Publications
34
Citations
137
Est. group size
~4
Recurring co-author estimate
Active years
8
Publishing since 2019
Yuning Huang's work focuses on visual data compression and image/video processing, including techniques like 3D Gaussian Splatting entropy coding, point cloud geometry compression, and learning-based compression methods. Additional publications touch on image retrieval, video understanding, image enhancement, and applications of deep learning to areas such as agriculture (crop and wheat detection), emotion analysis, and environmental data. This research combines signal processing, machine learning, and data compression techniques aimed at making visual and multimedia data more efficient to store, transmit, and analyze.
Publication output was minimal or absent before 2023 but has grown sharply since then, averaging about 6.6 papers per year over the last five years, indicating a recent and active increase in research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Efficient Visual Communication Under Practical Constraints: Joint Reconstruction, Compression, and Semantic Understanding
Purdue · 2026
- Efficient Visual Communication Under Practical Constraints: Joint Reconstruction, Compression, and Semantic Understanding
Purdue · 2026
- Adaptive Greedy Frame Selection for Long Video Understanding
arXiv (Cornell University) · 2026
- Gain From Give Up: Intuitive Data Augmentation Framework for Image Retrieval
IEEE Transactions on Multimedia · 2026
- EntropyGS: An Efficient Entropy Coding on 3D Gaussian Splatting
2026
- UH-PCC: Unified Octree and Feature Coding for Hierarchical Point Cloud Geometry Compression
2025
- Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines
arXiv (Cornell University) · 2025
- Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines
2025
- Towards Reproducible Learning-based Compression
arXiv (Cornell University) · 2024
- A Survey of Crop Disease Recognition Methods Based on Spectral and Red-Green-Blue Images
SSRN Electronic Journal · 2024
- MAHFF: An Underwater Image Enhancement Method Based on Multi-scale Attention Hybrid Feature Fusion
2024
- Towards Reproducible Learning-Based Compression
2024
- Analysis of Time–Frequency Characteristics and Influencing Factors of Air Quality Based on Functional Data in Fujian
Atmosphere · 2024
- MFNet: Multi-scale feature enhancement networks for wheat head detection and counting in complex scene
Computers and Electronics in Agriculture · 2024
- Finite element analysis of thin-waist concrete-filled steel tubular short column under axial compression
IOP Conference Series Earth and Environmental Science · 2019
- arXiv (Cornell University)×9
- Purdue×2
- IEEE Transactions on Pattern Analysis and Machine Intelligence×1
- Computers and Electronics in Agriculture×1
- Atmosphere×1
- Zhihao Duan
Computer Science · Purdue University West Lafayette
- Md Adnan Faisal Hossain
Computer Science · Purdue University West Lafayette
- Mary L. Comer
Computer Science · Purdue University West Lafayette
- Yash Sanghvi
Computer Science · Purdue University West Lafayette
- Stanley H. Chan
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile